Preprint
Sep 2026
When Fusion Fails: Corruption-Aware Rebalanced Fusion for Multi-Modal Medical Image Segmentation
CoReFuse-Med is proposed, a Corruption-aware Rebalanced Fusion framework that suppresses corruption during feature transmission and rebalances modality contributions during high-level fusion, demonstrating improved accuracy and robustness under modality-quality discrepancies.
Yu-Chen Pei, Xiao-Yu Hu, Yi-Xiong Zou et al.
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